研究目的
To characterize the vibrational properties (amplitude and frequency) of a target object using Doppler radar measurements, focusing on the effects of the measurement environment, and to propose a cost-effective system for robust detection in large-scale deployments.
研究成果
The study successfully characterizes vibration properties using Doppler radar, highlighting the impact of environmental factors on measurement quality. The proposed dual single-channel radar system with spatial and polarization diversity enhances robustness and reliability for continuous monitoring in cost-sensitive, large-scale deployments like factory workspaces. Future work should focus on validating the system in real-world environments and refining the temporal variation model.
研究不足
The phase noise and environmental effects (e.g., multipath) cause variations in measurements, leading to inaccuracies in amplitude and phase estimation. The temporal variation of phase is quasi-periodic but not fully characterized, requiring further experiments in different environments. The system may be affected by imbalances in I/Q radars if used, but the proposed dual-radar system aims to mitigate this. Cost constraints limit the use of high-sensitivity equipment.
1：Experimental Design and Method Selection:
The study uses a monostatic, homodyne CW Doppler radar system to detect vibrations. The theoretical model is based on the Doppler effect and Bessel function representation of the backscattered signal, with considerations for phase noise and environmental effects. The proposed system involves two single-channel radars spatially separated for diversity.
2：Sample Selection and Data Sources:
A standard mid-range audio speaker covered with thin aluminum foil is used as the vibrating object. Vibration is induced using an Android app to generate a 40Hz tone, amplified and fed to the speaker.
3：List of Experimental Equipment and Materials:
HB100 radar module (10.525GHz), preamplifier with voltage gain of 15000, Arduino Uno for data acquisition, standard laptop with Matlab for analysis, 3D printed enclosure, tripod, heavy aluminum piece for mounting, and audio amplifier.
4：525GHz), preamplifier with voltage gain of 15000, Arduino Uno for data acquisition, standard laptop with Matlab for analysis, 3D printed enclosure, tripod, heavy aluminum piece for mounting, and audio amplifier.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The radar is placed at distances of 20.5 cm, 21.5 cm, and 22.5 cm from the speaker. Measurements are taken at different volume levels (low to high) with 5 readings per distance. Data is recorded via Arduino and analyzed using FFT in Matlab. Additional experiments involve fixed volume and distance for temporal variation analysis over 3 minutes with 10-second non-overlapping windows.
5：5 cm, 5 cm, and 5 cm from the speaker. Measurements are taken at different volume levels (low to high) with 5 readings per distance. Data is recorded via Arduino and analyzed using FFT in Matlab. Additional experiments involve fixed volume and distance for temporal variation analysis over 3 minutes with 10-second non-overlapping windows.
Data Analysis Methods:
5. Data Analysis Methods: Spectral analysis using FFT to extract harmonic components (fundamental, second, third harmonics). Ratios of harmonic amplitudes (e.g., A1/A3) are used to estimate vibration amplitude and phase effects. Statistical analysis includes computing averages and standard deviations.
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